Incorporating Copper(I) Clusters into Lead Halide Perovskite through Mediation of Zwitterionic Linkers
Bibliographic record
Abstract
Hybrid metal halide perovskites have attracted significant attention due to their outstanding chemical and structural versatility. Incorporating additional building blocks, such as large organic groups and organometallic clusters, provides additional pathways to manipulate the optoelectronic properties of perovskites. However, the bulky building blocks often struggle to cocrystallize with the lead halide framework, leading to undesirable crystal phase segregation or component exchange during cocrystallization. Here, we introduce a new zwitterionic-ligand-driven method for incorporating Cu-based clusters into perovskites. Mercaptoethylamine (MEA) serves as the bifunctional ligand to bridge the Cu(I) tetrahedral moieties and the perovskite scaffold, yielding a new bimetallic structure (MEA) 4 Cu 2 Pb 3 Br 12 . Combined X-ray-based characterizations and charge analysis affirm the antiferromagnetic coupling between the [CuS 2 Br 2 ] tetrahedra, where the spin density is localized on the S atoms in a diradical form. The inclusion of Cu-based clusters introduces new acceptor energy levels that facilitate photocarrier separation and enable near-infrared light absorption.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".